Compression of molecular interaction fields using wavelet thumbnails: application to molecular alignment.

J Chem Inf Model

Information School, University of Sheffield, Regent Court, 211 Portobello Street, Sheffield S1 4DP, United Kingdom.

Published: March 2012

AI Article Synopsis

  • Molecular interaction fields are essential in drug design, helping analyze ligand binding and protein sites, but their large data grids can be hard to manage.
  • The wavelet transform is a powerful data compression method used to simplify these large datasets into smaller, more manageable wavelet thumbnails.
  • This study presents a technique for aligning these thumbnails to facilitate virtual screening, showing that they effectively maintain the crucial three-dimensional data originally present in the molecular interaction fields.

Article Abstract

Molecular interaction fields provide a useful description of ligand binding propensity and have found widespread use in computer-aided drug design, for example, to characterize protein binding sites and in small molecular applications, such as three-dimensional quantitative structure-activity relationships, physicochemical property prediction, and virtual screening. However, the grids on which the field data are stored are typically very large, consisting of thousands of data points, which make them cumbersome to store and manipulate. The wavelet transform is a commonly used data compression technique, for example, in signal processing and image compression. Here we use the wavelet transform to encode molecular interaction fields as wavelet thumbnails, which represent the original grid data in significantly reduced volumes. We describe a method for aligning wavelet thumbnails based on extracting extrema from the thumbnails and subsequently use them for virtual screening. We demonstrate that wavelet thumbnails provide an effective method of capturing the three-dimensional information encoded in a molecular interaction field.

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Source
http://dx.doi.org/10.1021/ci200348hDOI Listing

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